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[ICS-2415] Call for expression of interest for two (2) positions for R&D Engineers with a degree in Computer Science or Computer Engineering

We seek two (2) recent graduate Research & Development Engineers with a degree in Computer Science or Computer Engineering for our team. The candidates will contribute to the R&D activities of FORTH in the context of the EC-funded project HIGHER, particularly in (i) development of low-level control firmware and system software, and (ii) validation and evaluation of use cases. The HIGHER project follows the Open Compute Project (OCP) Server family of standards to build processor modules for computation and acceleration, alongside a system security/control module. The project aims to build modular rack-scale systems, running with fully-featured operating systems and runtimes, and incorporating reusable standards-based infrastructure that encompasses hardware, low-level firmware, and systems software, while ensuring trustworthy functionality for managing, securing, and controlling servers. The project's open-source hardware and software outcomes will enhance European Digital Autonomy and facilitate wide adoption. Furthermore, the project will assemble representative software stacks supporting a range of use cases, including accelerated data processing and analysis for converged Cloud and HPC platforms, Infrastructure-as-a-Service with standardized management and monitoring, Platform-as-a-Service facilitating large-scale data processing for ML inference and data analytics, and memory pool management at the server rack level, with access control safeguards aligned with maturing CXL standards. Requirements • Diploma in Computer Science or Computer Engineering • Physical presence at FORTH, Heraklion, Crete for the duration of the position • Experience in system programming in Linux using the C language • Experience in Linux-based systems development and evaluation, with development boards and emulators • Fluent knowledge of English • Names of at least three professional references • Willingness and ability to work cooperatively within a team, to learn, and to adapt to the projects

Laboratory: CARV

Date of announcement: 12-11-2025

Closing date: 24-11-2025, 16:00

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[ICS-2414] Call for expression of interest for one (1) position of Researcher with a Ph.D. degree in Computer Science or a related Engineering field

We seek one researcher with a Ph.D. in Computer Science or a related Engineering field. The candidate will participate in the R&D activities of FORTH-ICS in the context of the H2020 project “MAGICIAN - iMmersive leArninG for ImperfeCtion detectIon and repAir through human-robot interactioN”, funded under Horizon 2020, HORIZON-CL4-2022-DIGITAL-EMERGING-02, and will work on Computer Vision related aspects. A common trait of many important markets is the increasing attention of consumers to the aesthetic quality of the products. Even products like mid-segment cars are required to be defect-free in all the areas falling under the direct sight of the customer. These expectations translate into high-quality standards in the production process, which are currently met by requiring an important physical effort to the workers in unsafe environments. The MAGICIAN project will take on the challenge producing a modular automation solution in which robots are used to detect and rework production defects before the last production phases commence and the aesthetics of the product is finalized. The project will produce two robotic solutions, one for defect analysis (the SR) and one for the defects’ rework (the CR). The SR and the CR can be used separately, with the humans remaining in charge of some of the activities, or in combination, with the CR operating on the defects identified by the SR. The SR can also be used in connection with the welding robotic station in order to adapt the process parameters. The robots will use Artificial Intelligence modules to detect and discriminate the defects from multi-modal data (the SR) or to decide the best policy to use for defect rework (the CR). In both cases, the decision logic of the modules will be trained using machine learning algorithms. The training data set will be acquired with the help of workers, who will operate on semiworked products within a controlled environment. The SR and the CR will rely on the software services of a common robotic platform. The solution will be developed adopting a human-centered approach, which will allow us to evaluate the impact of the innovation on the production processes and remove the most important asperities along this path. The effectiveness of the solution will be tested on a usecase, and its generality proven by recruiting additional contributors and use-cases through a FSTP scheme.

Laboratory: CVRL

Date of announcement: 12-11-2025

Closing date: 24-11-2025, 16:00

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[ICS-2413] Call for expression of interest for one (1) position of Researcher with a Ph.D. degree in Computer Science or a related Engineering field

We seek one researcher with a Ph.D. in Computer Science or a related Engineering field. The candidate will participate in the R&D activities of FORTH-ICS in the context of the H2020 project “MAGICIAN - iMmersive leArninG for ImperfeCtion detectIon and repAir through human-robot interactioN”, funded under Horizon 2020, HORIZON-CL4-2022-DIGITAL-EMERGING-02, and will work on Computer Vision related aspects.A common trait of many important markets is the increasing attention of consumers to the aesthetic quality of the products. Even products like mid-segment cars are required to be defect-free in all the areas falling under the direct sight of the customer. These expectations translate into high-quality standards in the production process, which are currently met by requiring an important physical effort to the workers in unsafe environments. The MAGICIAN project will take on the challenge producing a modular automation solution in which robots are used to detect and rework production defects before the last production phases commence and the aesthetics of the product is finalized. The project will produce two robotic solutions, one for defect analysis (the SR) and one for the defects’ rework (the CR). The SR and the CR can be used separately, with the humans remaining in charge of some of the activities, or in combination, with the CR operating on the defects identified by the SR. The SR can also be used in connection with the welding robotic station in order to adapt the process parameters. The robots will use Artificial Intelligence modules to detect and discriminate the defects from multi-modal data (the SR) or to decide the best policy to use for defect rework (the CR). In both cases, the decision logic of the modules will be trained using machine learning algorithms. The training data set will be acquired with the help of workers, who will operate on semiworked products within a controlled environment. The SR and the CR will rely on the software services of a common robotic platform. The solution will be developed adopting a human-centered approach, which will allow us to evaluate the impact of the innovation on the production processes and remove the most important asperities along this path. The effectiveness of the solution will be tested on a usecase, and its generality proven by recruiting additional contributors and use-cases through a FSTP scheme.

Laboratory: CVRL

Date of announcement: 12-11-2025

Closing date: 24-11-2025, 16:00

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[ICS-2074] Call for expression of interest for a position of Software Engineer in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)

The candidate will participate in the R&D work of FORTH within the TRUSTEE project. We are looking for an experienced developer to be part of the team designing and implementing a system to enable trusted and private preserving computing platforms to access cross border federation of data in order to improve the availability and quality of multidisciplinary big-data sources, from various sectors including the health domain, in a trustworthy, fair, responsible, and environmentally friendly manner, across the data lifecycle to enable data sharing and manipulation, in compliance with prevailing and emerging legislation. The candidate will be involved in defining policies regarding sharing and access of knowledge, perform a systematic gap analysis with a focus on European Data spaces elicit the TRUSTEE Stakeholders requirements given the outcomes of the project analysis for barriers & contributing factors regarding solutions acceptance & assure TRUSTEE will meet these needs and support the design and define in detail the overall TRUSTEE architecture of the system.

Laboratory: CBML

Date of announcement: 26-07-2023

Closing date: 07-08-2023, 16:00

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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 6ΝΦΨ469ΗΚΥ-1Ν3)

[ICS-2073] Πλήρωση μίας (1) θέσης έκτακτου προσωπικού (Αναλυτή Δεδομένων - μεταπτυχιακού φοιτητή)

Η κατανόηση του τρόπου με τον οποίο τα δίκτυα από κύτταρα του φλοιού συντονίζονται και αλληλο-επιδρούν μεταξύ τους, προκειμένου να επεξεργάζονται τις πληροφορίες και να επιτρέπουν στα κυκλώματα του φλοιού να τροποποιούνται κατά τη διάρκεια της μάθησης είναι περιορισμένη. Ανωμαλίες στη λειτουργική συνδεσιμότητα των νευρωνικών δικτύων, ειδικά στον οπτικό φλοιό, χαρακτηρίζουν το Alzheimer's disease (AD). Το προτεινόμενο διεπιστημονικό έργο αφορά τον χαρακτηρισμό in vivo της αρχιτεκτονικής των λειτουργικών δικτύων του οπτικού φλοιού και των αλλαγών τους κατά τη διάρκεια της εξέλιξης της νόσου. Τα μοτίβα λειτουργικής συνδεσιμότητας μεταξύ των νευρώνων θα παρακολουθούνται, σε συνθήκες ηρεμίας και μάθησης. Επίσης, οι ιδιότητες της οπτικής απόκρισης θα καταγράφονται ως συνάρτηση της εξέλιξης της νόσου. Οι αναλυτές δεδομένων σε συνεργασία με την ομάδα του έργου θα ασχοληθούν με την ανάλυση των δεδομένων αυτών, εφαρμόζοντας αλγορίθμους μηχανικής μάθησης και στατιστικής ανάλυσης. Η ομάδα συνεργάζεται στενά με την Ιατρική Σχολή του Harvard.

Laboratory: TNL

Date of announcement: 25-07-2023

Closing date: 04-08-2023, 16:00

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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 6Η40469ΗΚΥ-Χ98)

[ICS-2072] Πλήρωση δύο (2) θέσεων έκτακτου προσωπικού (Αναλυτές Δεδομένων/Μεταπτυχιακών Φοιτητών)

Laboratory: TNL

Date of announcement: 25-07-2023

Closing date: 04-08-2023, 16:00

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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: Ρ1ΝΠ469ΗΚΥ-ΔΩΟ)

[ICS-2071] Call for expression of interest for one (1) position of a software engineer with a BSc degree (or all degree requirements successfully completed) in Computer Science, Computer Engineering, or Electrical Engineering,

We seek one (1) software engineer with a BSc degree (or all degree requirements successfully completed) in Computer Science, Computer Engineering, or Electrical Engineering. The candidate will participate in the R&D activities of FORTH in the context of the EC-funded project CYBERSPACE.

Laboratory: DISCS

Date of announcement: 25-07-2023

Closing date: 08-08-2023, 16:00

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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: Ψ2ΜΕ469ΗΚΥ-ΛΒ4)

[ICS-2070] Call for expression of interest for one (1) position of Research and Development Engineer in the Institute of Computer Science (ICS) , Foundation for Research and Technology – Hellas (FORTH)

We seek one “Research and Development Engineer” in the area of industrial robotics, with desirable background in RTD projects.The candidate will participate in the R&D activities of FORTH-ICS in the context of the project “RECLAIM: AI-powered Robotic Material Recovery in a Box”, funded by the European Commission under HORIZON-CL4-2021-DIGITAL-EMERGING-01-09, and will work on implementing and programming robotic systems for recyclable waste sorting.

Laboratory: CVRL

Date of announcement: 20-07-2023

Closing date: 31-07-2023, 16:00

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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9Μ7Π469ΗΚΥ-Ρ42)

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